Solutions Architect
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop customer engagement strategies with Account Executives, coach junior Solutions Architects, influence stakeholders at all levels, and act as a trusted advisor on data analytics architecture and adoption of the Databricks platform. You will also create customer-facing collateral and lead workshops, seminars and meet-ups.
Requirements
- Experience with complex customer interactions and sales lifecycle in technical pre-sales
- Ability to influence decision-makers and C-level executives
- Prior coding experience in a core programming language (Python, Java, Scala) and willingness to learn base-level Spark
- Hands-on expertise with complex proofs-of-concept and public cloud platforms
- Ability to provide technical solutions for specialized customer needs and navigate a competitive landscape
Responsibilities
- Develop customer engagement strategies with Account Executives
- Coach junior Solutions Architects on use case prioritization and building technical champions
- Influence stakeholders through complex engagements with the cloud ecosystem and 3rd party applications
- Act as expert solution architect and trusted advisor
- Develop customer-facing collateral and lead workshops, seminars and meet-ups